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What is MetaEyes?

Harness the power of sophisticated image recognition technology to uncover a wealth of insights from photographs, even those devoid of hashtags. By strategically employing diverse hashtags, you can seamlessly monitor and categorize Instagram posts—ranging from general terms like #breakfast to event-specific tags such as #christmas and brand-related ones like #starbucks. Utilizing state-of-the-art machine learning, MetaEyes autonomously detects, classifies, and tags images upon upload without any human intervention. Its intuitive reporting interface delivers both concise summaries and detailed analytics, featuring extensive filtering, sorting options, and robust export functionalities. Moreover, the platform has the capability to recognize multiple human faces in a single photo, making predictions about various facial characteristics, such as Age, Gender, Smile, Facial Hair, and Glasses. The system also automatically spots and labels explicit content, including adult or violent imagery, ensuring compliance with community standards. This holistic approach empowers users to manage and analyze visual content efficiently, enhancing both productivity and insight generation in their digital interactions. Ultimately, the versatility of this technology makes it an invaluable tool for anyone looking to optimize their social media presence.

What is Face++?

Face⁺⁺ provides advanced capabilities for detecting and pinpointing human faces within images, generating precise bounding boxes for each recognized face. It also allows users to store relevant metadata tied to each detected face for later use. Moreover, the system evaluates the likelihood that two faces belong to the same person, supplying a confidence score and specific thresholds for assessing their likeness. By leveraging the Face⁺⁺ Detect API, users can uncover faces in images and receive bounding boxes along with tokens for each identified face, which can be utilized with various other APIs for further analysis. In addition, this Detect API can produce facial landmarks and attributes for the five largest faces found in the image. All APIs are offered free of charge, with users having the option to switch to a paid model based on their specific business requirements, including choices like Pay As You Go or a QPS solution. There are multiple SDK licensing options available for different devices, ensuring a smooth integration process. With Face⁺⁺, developers can effortlessly embed state-of-the-art deep learning image recognition features into their applications through intuitive APIs and SDKs, significantly boosting the capabilities of their software. This versatility not only enhances operational efficiency but also opens up new avenues for innovative application development.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$100 per day
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

MetaEyes

Company Location

France

Company Website

www.metaeyes.com

Company Facts

Organization Name

Megvii

Date Founded

2011

Company Location

China

Company Website

www.faceplusplus.com

Categories and Features

Social Media Monitoring

Audience Segmentation
Competitive Analysis
Configurable Alerts
Customer Engagement
Dashboard
Impact Scoring
Influencer Tracking
Reputation Management
Sentiment Analysis
Trend Tracking

Categories and Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

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